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Capgemini, on behalf of Farmers' operations, is seeking a Data Engineer with a strong P&C insurance background to translate business needs into clear, actionable requirements for reporting and analytics. You will partner with business stakeholders, product owners, and technology teams to ensure reliable data solutions.
Core responsibilities include gathering and documenting requirements, supporting data product certification, validating business rules, planning UAT, and collaborating with data
FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.
We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.
Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.
We seek a Data Engineer with a strong P&C insurance background to partner with business stakeholders, product owners, and technology teams to translate business needs into clear, actionable requirements for financial loss reporting and analytics solutions. The ideal candidate will analyze business data stories, document functional requirements, support data product certification, validate business rules, and ensure delivered solutions meet reporting, data quality, and downstream consumption needs. Core Responsibilities: Gather, analyze, and document business requirements; facilitate discussions with SMEs and stakeholders; translate business data stories into functional specifications; support source-to-target mapping and business rule validation; assist with UAT planning and execution; track issues, decisions, and approvals; and collaborate with data engineering teams to ensure requirements are implemented accurately.
This position comes with a competitive compensation and benefits package.